Analytics Engineer [Remote] - up to RM 12k

Randstad Malaysia; Kuala Lumpur; À distance; MYR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Remote Working

Global Presence

Open Communication Culture

Résumé du poste

Randstad Malaysia is partnering with a growing Data, AI, and software solutions group to deliver scalable and secure data solutions. The role focuses on building and refining data pipelines and models in a modern data stack using SQL, Python, dbt, and Databricks.

The ideal candidate has 3+ years of analytics/data engineering experience, strong SQL, Python, and Databricks expertise, and can collaborate with cross-functional teams across regional markets.

Qualifications

• 3+ years of professional experience in Analytics Engineering, Data Engineering, or a heavily technical Data Analyst role.
• Advanced proficiency in writing complex, highly optimized SQL queries.
• Deep, hands-on experience using dbt for data modeling, testing, and deployment.
• Strong proficiency in Python for data manipulation and automation.
• Proven experience working with Databricks (Spark, Delta Lake) to handle large-scale data processing.

Responsabilités

• Pipeline & Model Development: Design, build, and maintain scalable data pipelines and data models using SQL, Python, and dbt.
• Large-Scale Data Management: Process, transform, and optimize massive datasets efficiently within a Databricks environment.
• Data Quality & Governance: Implement testing and validation frameworks within dbt to ensure data accuracy, reliability, and consistency across all reporting layers.
• Performance Optimization: Identify bottlenecks in existing data workflows and rewrite complex queries to improve compute efficiency and reduce costs.
• Cross-Functional Collaboration: Partner with data engineers, analysts, and business stakeholders to translate complex business requirements into well-defined data models.

Connaissances

SQL Mastery

Python

Formation

Vocational/Professional Qualification

Outils

dbt

Databricks

Snowflake

Description du poste

• Remote Working
• Global Presence
• Open Communication Culture

about the company

Randstad has partnered with a growing organisation within the Data, AI and software solutions space, on a global scale. Your future employers emphasize on utilizing modern technology in offering solutions that are scalable, secure and priotizes value creating for their users.

key responsibilities:

• Pipeline & Model Development: Design, build, and maintain scalable data pipelines and data models using SQL, Python, and dbt.

• Large-Scale Data Management: Process, transform, and optimize massive datasets efficiently within a Databricks environment.

• Data Quality & Governance: Implement testing and validation frameworks within dbt to ensure data accuracy, reliability, and consistency across all reporting layers.

• Performance Optimization: Identify bottlenecks in existing data workflows and rewrite complex queries to improve compute efficiency and reduce costs.

• Cross-Functional Collaboration: Partner with data engineers, analysts, and business stakeholders to translate complex business requirements into well-defined data models.

requirements:

• Experience: 3+ years of professional experience in Analytics Engineering, Data Engineering, or a heavily technical Data Analyst role.

• SQL Mastery: Advanced proficiency in writing complex, highly optimized SQL queries.

• Modern Data Stack: Deep, hands-on experience using dbt for data modeling, testing, and deployment.

• Programming: Strong proficiency in Python for data manipulation and automation.

• Platform Expertise: Proven experience working with Databricks (Spark, Delta Lake) to handle large-scale data processing.

nice to haves:

• Previous experience working across regional markets or dealing with multi-regional datasets.

• A self-starter mentality with the ability to manage projects independently and proactively identify areas for improvement.

• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

experience

3 years

skills

SQL, Python, Snowflake

qualifications

no additional qualifications required

education

Vocational/Professional Qualification